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@article{188773,
        author = {A Pavithra and Mrs. Nita Meshram and Akshaya K and Amisha V and Bhavya D},
        title = {The Good AI Skin Doctor: A Privacy-First AI Assistant for Dermatological Wellness and Early Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {3865-3870},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188773},
        abstract = {Skin conditions are widespread throughout the world, but due to the scarcity of dermatologists and the difficulty of detecting the issue in its early stages, it is a challenge for a lot. This paper presents The Good AI Skin Doctor, an AI-powered system that uses images to automatically identify possible skin problems for users. The HAM10000 dermatology dataset was used to train a refined EfficientNet-B3 model for the classification task, taking into account important preprocessing techniques like resizing, normalizing, and augmenting data to handle images with different qualities. When a user uploads an image, this model categorizes the lesion into pre-established groups and gives the user initial insights before consulting a medical professional. Based on the anticipated category, a straightforward recommendation system offers broad skincare suggestions. In the meantime, the system's workflow for safely processing and momentarily storing user-provided images protects users' privacy. Overall, the current work highlights how Digital vision and deep learning can support early skin health awareness by providing a dependable and user-friendly AI assistant for initial dermatological assessment.},
        keywords = {Artificial Intelligence, Computer Vision, Deep Learning, Dermatology Assistance, EfficientNetB3, HAM10000, Image Preprocessing, Skin Image Classification, Skin Health Analysis, Privacy-Focused AI.},
        month = {December},
        }